A Bayesian approach to dose-response assessment and synergy and its application to in vitro dose-response studies.

ABSTRACT: In this article, we propose a Bayesian approach to dose-response assessment and the assessment of synergy between two combined agents. We consider the case of an in vitro ovarian cancer research study aimed at investigating the antiproliferative activities of four agents, alone and paired, in two human ovarian cancer cell lines. In this article, independent dose-response experiments were repeated three times. Each experiment included replicates at investigated dose levels including control (no drug). We have developed a Bayesian hierarchical nonlinear regression model that accounts for variability between experiments, variability within experiments (i.e., replicates), and variability in the observed responses of the controls. We use Markov chain Monte Carlo to fit the model to the data and

SUBMITTER: Hennessey VG 

PROVIDER: S-EPMC3773943 | biostudies-literature | 2010 Dec

REPOSITORIES: biostudies-literature